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Robotics Engineer

Anthrogen· Engineering
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San Francisco, CA$140k - $220kFull-timePosted 6mo ago

About the role

Seed-stage robotics role in San Francisco focused on building autonomous lab robotic systems, owning hardware and software integration to create repeatable, end-to-end lab workflows.

Responsibilities

  • Design and build mechanical and electromechanical subsystems
  • Write the code that actually runs the system (control logic, sequencing, hardware interfaces)
  • Bring up new hardware and get it working end-to-end
  • Debug failures across the full system — mechanical, electrical, and software
  • Iterate until systems are stable and repeatable, not just working once

Qualifications

  • You’ve built and delivered at least one complex physical system with real ownership
  • You’re comfortable writing code that interfaces directly with hardware
  • Strong ability in at least one area: Mechanical design, Controls, Embedded / systems programming
  • Experience working with motors, sensors, and power in a real system
  • Good at solving unexpected problems

Skills

Required:Mechanical designControlsEmbedded / systems programmingMotors, sensors, and power management
Last updated Sep 16, 2026. Interested? Apply on the company site.
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About Anthrogen

We're training the next generation of protein foundation models.

Proteins power everything from the cells in your body to creating materials you rely on every day—but until now, we’ve been forced to discover their functions by trial and error. Designing a new therapeutic can take decades and billions of dollars, and even our best industrial catalysts work at a snail’s pace compared to their theoretical optimums. Anthrogen is changing that. By training massive AI foundation models on protein sequences and structures, we’ve unlocked the ability to generate—on demand—completely novel molecular machines with atomic-level precision. Simply describe the function you need, and our platform imagines the peptide or protein that will deliver it. We're building models to speed up billions of years of evolution into the span of an afternoon's worth of compute. The result? New-to-nature therapies, ultra-efficient catalysts for sustainable manufacturing, and a whole new frontier of molecular innovation—designed as precisely as any cutting-edge aircraft or microchip.

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